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Paper Citation Record · LEDGER

Questioning the Survey Responses of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2306.07951.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2306.07951 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:59:29.275601Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 93a5d7d7-4e57-4b56-9d84-83e5d9d398a6 · inbound

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction cites this paper.

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction Questioning the Survey Responses of Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:49:13.956827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-24T08:47:23.231930Z digest=sha256:11dcfa7627481e99fa66a94c306e969a97f08351a1802bcd575ba258bb1febfc

Observation 696847f9-6bb1-4da1-8c23-928e98a7667a · inbound

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations cites this paper.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Questioning the Survey Responses of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T13:59:29.275601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.275601Z digest=sha256:41186a1aca4177ea815cc4c2da7cc0e6f0ddf3a2ca89f530fc6b801019b9d24d

Observation 3386b865-c772-45c3-854e-6c61816af70f · inbound

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions cites this paper.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Questioning the Survey Responses of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:40:06.423425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:06.423425Z digest=sha256:4f3e7e4ff4ec0ae6d53ccc0271b79e93165f1c635fb0d0bf14cce8b17302d8f6

Observation 74ead6b2-65ee-45c7-b160-8e8c8091a4f9 · inbound

Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead cites this paper.

Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead Questioning the Survey Responses of Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:12:55.715480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T02:12:48.586913Z digest=sha256:7e475b143921d257c2c52f65285b473a01446fb12580c9e46306af1b372ad39d

Observation cc35e69c-85e2-4112-9891-c54e9dc795b8 · inbound

Graph-Based Alternatives to LLMs for Human Simulation cites this paper.

Graph-Based Alternatives to LLMs for Human Simulation Questioning the Survey Responses of Large Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T00:50:33.381493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T00:47:40.432039Z digest=sha256:dd3f81df36432ac8301b56a9d16d9f39be2c3783c66dd8f5615d2e561df94a98

Observation d29cd857-f877-404b-a870-00ef31d0eb44 · inbound

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation cites this paper.

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation Questioning the Survey Responses of Large Language Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T21:33:29.602937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T17:23:50.486306Z digest=sha256:4fe24b344cbc38c4ffd5a6bf8506f3fb1acd7a1787f419ca0ae554b857e77a90

Observation aeb0e17a-de88-4e9d-86d2-2e8a196cb308 · inbound

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication cites this paper.

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication Questioning the Survey Responses of Large Language Models

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T19:05:00.266387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T19:04:36.443335Z digest=sha256:83f31f0677e3625ec38990cbaa644e474e267837067cad8f8f2e7eda9fe19131

Observation 0d59d8e9-7c70-4b53-80cd-1104713ab0f5 · inbound

Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogates cites this paper.

Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogates Questioning the Survey Responses of Large Language Models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:24:18.632570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:15:48.842327Z digest=sha256:b17ecbbbdb45d42f11c83202238a9f03e5af2807d906034ed394d16e1f8c3557

Observation 3ee4cf4a-c5bb-44a9-97bb-ee8a6985c99a · inbound

Two Confounds in Cross-Model Value Comparison: Response Determinism and the Access Harness cites this paper.

Two Confounds in Cross-Model Value Comparison: Response Determinism and the Access Harness Questioning the Survey Responses of Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-14T13:32:31.523845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:32:31.523845Z digest=sha256:3fbeb0a1e1c7bf6fbb6c62a313a1e3720577e43566de88962167a270d657243e

Observation 82416d6e-ae70-4dfb-a9f8-8f692c61b03d · inbound

The Two-Process Theory of Machine Self-Report cites this paper.

The Two-Process Theory of Machine Self-Report Questioning the Survey Responses of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T10:54:06.733241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:06.733241Z digest=sha256:1e733225a13a847f803d29cfb83cb14fb31c79faee552e7951456882a10ed82e

Observation e135b094-de2a-4904-95d8-b24f36098944 · inbound

More Is Not More: What Matters for Diversity in LLM Opinions? cites this paper.

More Is Not More: What Matters for Diversity in LLM Opinions? Questioning the Survey Responses of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T14:33:31.525995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:33:31.525995Z digest=sha256:1314e7854cc92a596cbe21e1c8e3a0ed60767abb295d65481bb2f4a4d36e2ba3